Pixano vs Supervisely

Pixano is a free, open-source tool for exploring and annotating computer-vision datasets, including collections of text, images, and video. Its annotation tools cover boxes, polygons, pixel masks, keypoints, cuboids, classification, and tracking; video labels can be propagated across time. Smart features include semantic search using models such as CLIP and segmentation using models such as SAM. Dataset formats such as COCO can be imported and exported, and Pixano uses Lance storage for dataset navigation. Its reusable Web Components can be assembled into custom apps. Pixano documents REST and Python APIs, along with Pixano Inference, a Ray Serve-based inference server with a Python client and REST API. Installation options documented by the project are pip in a Python virtual environment or an official Docker image. The supported Python range is 3.10 or later and earlier than 3.14. Pixano is licensed under CeCILL-C and is under active development, so its API may change. Three-dimensional point-cloud support is described as planned.

Supervisely is a computer vision platform for curating data, labeling images, video, 3D and medical imagery, and building production models. Its labeling workflows cover images, video, LiDAR and DICOM, with AI-assisted labeling and tracking. Teams can train, evaluate and deploy models, including through active-learning workflows. Data tools include search, visualization and quality statistics, plus connections to AWS, Google Cloud and Azure storage. A JSON API, Python SDK and AppEngine support integrations and workflow automation. Community is free with 5 GB of storage, 10,000 files and two members; projects in free teams are archived after 30 days of inactivity. Pro is listed at €199/mo, with 50 GB and 50,000 files; add-ons are available. Enterprise has custom pricing and can be self-hosted or cloud deployed, including on private networks without outside internet access. Supervisely says uploaded or generated customer data is private and not shared or used by the service. It was released in August 2017 and is headquartered in Tallinn, Estonia.